Abstract
Wavelet theory is a relatively recent area of scientific research, with a very successful application in a broad range of problems such as image, audio and signal processing, numerical analysis, electromagnetic scattering, data compression and denoising, stohastics, mathematics and physics, (bio)medicine, astronomy and many more. The key wavelet property contributing to its success in such a variety of disciplines is the capability of a simultaneous time and frequency representation of a signal embedded within a multi-resolution analysis (MRA) framework. The potential exploitation of this property for next-generation, wavelet-based techniques for analog circuit simulation is discussed in this paper.
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Dautbegovic, E. (2010). Wavelets in Circuit Simulation. In: Roos, J., Costa, L. (eds) Scientific Computing in Electrical Engineering SCEE 2008. Mathematics in Industry(), vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12294-1_18
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DOI: https://doi.org/10.1007/978-3-642-12294-1_18
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